Simulation and animation of the operation of a fast food restaurant

Farahmand, Kambiz; Francisco, A.; Martínez, Gemma Pinar

doi:10.1145/256562.256943

Cited by 15 publications

(12 citation statements)

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“… The formulas that were used during the completion of the research is applicable for future research and also could be use to develop more complex theories.  The formulas provide mechanism to model the restaurant queue that is simpler than the creation of simulation model in [9,4].…”

Section: Benefitsmentioning

confidence: 99%

A Study of Service in Restaurant by Using Queuing Model

Mishra¹,

Chauhan

Chandra³

2013

BSMaSS

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:The restaurants want to avoid losing their customers due to a long wait on the line. This shows a need of a numerical model for the restaurant management to understand the situation better. This paper aims to show that queuing theory satisfies the model when tested with a real-case scenario. We obtained the data from a restaurant. We then derive the arrival rate, service rate, utilization rate, waiting time in queue and the probability of potential customers to balk based on the data using Little's Theorem and M/M/1 queuing model. We conclude the paper by discussing the benefits of performing queuing analysis to a busy restaurant.

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Section: Benefitsmentioning

confidence: 99%

A Study of Service in Restaurant by Using Queuing Model

Mishra¹,

Chauhan

Chandra³

2013

BSMaSS

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“…The decision making implemented in [2] was more complex than the current study. However, the implementations in [2] served our students how to continue the developing work presented in this paper. After analyzing how to implement entities and decision making, students continued to identify how to decrease the queueing time of the customers.…”

Section: Related Workmentioning

confidence: 75%

“…Another study was conducted by Texas A&M University simulating a fast-food restaurant [2]. This study helped our students to enforce a standard for their model.…”

Section: Related Workmentioning

confidence: 99%

“…Simulation models were developed by adding more workers, adding more space for the workers in their respective stations, and by applying these suggestions during the core hours [3]. The decision making implemented in [2] was more complex than the current study. However, the implementations in [2] served our students how to continue the developing work presented in this paper.…”

Section: Related Workmentioning

confidence: 99%

“…Based on the primary analysis two potential solutions were possible to solve the simulation problem: (1) to increase the number of employee (food servers); (2) to increase the popularity of other locations (food providers) which have a lower waiting time. In addition, there were three approaches to reach the goals: either to ask the SME to provide all sensitive data and statistics information they had about the cafeteria; or to make a very detailed and time consuming observation over the actual model through longer observation periods in the Nest.…”

Section: Available Solutionsmentioning

confidence: 99%

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A Real-World Example for Student Learning: BTSU Cafeteria Simulation

Rajaei¹,

Khakzad²

2017 ASEE Annual Conference &Amp; Exposition Proceedings

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Hassan Rajaei is a professor of computer science at Bowling Green State University, Ohio. His research interests include cloud computing, High Performance Computing (HPC), distributed simulation, parallel and distributed processing, communication networks, wireless communications, and virtual training environments. Rajaei received his Ph.D. from Royal Institute of Technology, KTH, Stockholm, Sweden, and he holds a M.S.E.E. from the University of Utah, and a BS from University of Tehran. Simulation is a powerful tool both for teaching students about simulation techniques as well as providing deeper understanding of some courses contents such as networking, operating systems, operational research, just to name a few. Simulation is a well-known technique for evaluation of what-if scenarios for decision making in industry, defense, finance, and many others.Teaching simulation techniques may require creativity in assigning problems to students. Real word examples often excite students and motivate them focusing on their learning objectives. Further, it challenges them to develop models to reflect the reality. Clear examples can teach students how to collect data, develop base model, improve it to advanced models, analyze the obtained results, and think about usability of their simulation results. These learning outcomes can clearly demonstrate valuable educational objectives. This paper, presents an example where a group of students were assigned to develop a simulation model for the BGSU Students Union (BTSU) Cafeteria. Managing a university cafeteria often exhibits challenges for the food services located in the cafeteria. One challenge regards waiting times. This study was focused on reducing the average waiting time of the diners in the queues, while increasing overall efficiency of the food services.The popularity of each food station, measured in number diners visiting that food-station, was first observed. Then the arrival rate of the customers and the number of workers were recorded. Based on the collected data, several scenarios were developed to assess the system. The simulation result suggests that adding food-servers to the top 3 most visited food stations can dramatically reduce the overall waiting time. In addition, offering special deals, could further improve the result.

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